analytics specialist

Spiralyze

<div>
 <p>
  <strong>
   Department:
  </strong>
  Analytics
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Remote (Cairo)
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $800 - $1,200 / month
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 You are a detective investigating client web analytics data to shape our understanding of what is happening on their website.
 <br/>
 <br/>
 This is a great opportunity for someone early in their analytics career who&rsquo;s eager to learn, dependable, and comfortable working with data and tools across the funnel.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Data Analysis
   </strong>
   . Study client website data and create reports using Google Sheets, Analytics software (e.g., Google Analytics 4), CRM Tools (Hubspot, Marketo, Salesforce, etc.), etc.
  </li>
  <li>
   <strong>
    Data Issue Analysis
   </strong>
   . Detect data anomalies and find root causes.
  </li>
  <li>
   <strong>
    Requirements Gathering
   </strong>
   . Communicate with project managers to adjust key reports tailored to specific client needs
  </li>
  <li>
   <strong>
    Organization
   </strong>
   . Maintain a database of reports to ensure up-to-date documentation
  </li>
  <li>
   <strong>
    Opportunity Spotting
   </strong>
   . Use data analysis to find the best opportunities on the client page for A/B testing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills, Knowledge and Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Google Sheets.
   </strong>
   Strong working knowledge.
  </li>
  <li>
   <strong>
    English Communication.
   </strong>
   Fluent in spoken and written English.
  </li>
  <li>
   <strong>
    Learning.
   </strong>
   Quick learner who can adapt to a wide range of client tools.
  </li>
  <li>
   <strong>
    Data Literacy.
   </strong>
   Strong understanding of how data works and high attention to detail.
  </li>
 </ul>
 <strong>
  Nice to Have
 </strong>
 <ul>
  <li>
   <strong>
    Analytics &amp; CRM Tools.
   </strong>
   Familiarity with GA4 and CRM tools such as HubSpot, Marketo, or Salesforce is a plus.
  </li>
  <li>
   <strong>
    Experience.
   </strong>
   Around 1 year of experience in analytics is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Get
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Clear promotion opportunities.
   </strong>
   We invest heavily in training and promote almost exclusively from within. Most leaders at Spiralyze started in entry-level roles.
  </li>
  <li>
   <strong>
    Tech reimbursement.
   </strong>
   Need a better computer, monitor, or setup? Want training on Figma or GA4? We&rsquo;ll help.
  </li>
  <li>
   <strong>
    In-demand skills.
   </strong>
   You&rsquo;ll learn Conversion Rate Optimization from the most experienced experimentation teams in the world.
  </li>
  <li>
   <strong>
    Time to recharge.
   </strong>
   20 days of paid vacation plus holidays.
  </li>
  <li>
   <strong>
    Flexible working hours.
   </strong>
   Must overlap 8am - 12pm EST (New York Time); the rest of the hours are flexible.
  </li>
 </ul>
</div>


Junior Analytics Specialist

METRO Global Solution Center IN

<div><b>Company Description</b><p><br>
We are METRO GSC, an internal solutions provider for METRO AG, a &euro;25.6 Billion international wholesaler with operations in 24 countries through 670 stores &amp; a team of more than 97,000 people globally having offices in Pune &amp; Bangalore (India), D&uuml;sseldorf (Germany) and Szczecin (Poland). We provide Financial and Business solutions to 42 countries, speak 24+ languages. We are setting tomorrow&rsquo;s standards for customer focus, digital solutions, and sustainable business models. As a Solutions provider we take a proactive approach in supporting our internal and external stakeholders with all their needs from performing an extensive analysis to devising strategies and producing optimum solutions. We believe in anticipating the needs of our business partners and always staying one step ahead. We are an Equal Opportunity Employer; we recognize the Value of Inclusion &amp; Diversity in our work culture. We have a flexible and collaborative work culture that helps us in creating a workplace that supports our transformation journey.</p><p>
Website: https://www.metro-gsc.in<br>
Company Size: 600-650<br>
Headquarters: Pune, Maharashtra, India<br>
Type: Privately Held<br>
Inception: 2011</p><b><br>
Job Description</b><p><br>
In this role, you will play a key part in driving data‑backed decision‑making and customer‑centric marketing across METRO&rsquo;s global markets. You&rsquo;ll work closely with international marketing teams, data scientists, and CRM specialists to analyze customer behavior, optimize communication journeys, and build intelligent reporting and automation tools. Your work will directly influence how 21 countries engage with millions of customers&mdash;transforming data into actionable insights, scalable processes, and impactful business outcomes.<br>
<br>
<b>Your responsibilities</b></p><ul><li>
Implementing projects in cooperation with marketing teams from 21 countries worldwide and the METRO Group headquarters in D&uuml;sseldorf</li><li>
Analyzing and preparing reports on executed marketing and customer-related activities</li><li>
Collaborating with the Data Science team</li><li>
Automating CRM communication processes (Adobe Journey Optimizer)</li><li>
Creating data visualizations (Looker Studio / MicroStrategy)</li><li>
Participating in the development of tools and processes for customer communication management, including defining requirements for new functionalities</li><li>
Integrating data sets from multiple sources</li><li>
Ensuring high quality of processed and reported information</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
Bachelor's degree is mandatory</li><li>
5+ years experience in the analysis and execution of CRM marketing campaigns, with an understanding of their specific characteristics</li><li>
Interest in customer behavior analysis within the FMCG sector</li><li>
Proficiency in Excel / Access</li><li>
Knowledge of SQL (BigQuery); experience with Google Cloud Platform (GCP) is an advantage</li><li>
Knowledge of Adobe Journey Optimizer / Adobe Real-Time CDP is an advantage</li><li>
Experience in preparing data visualizations using BI tools</li><li>
Strong conceptual thinking and a creative, solution-oriented approach</li><li>
Excellent analytical skills</li><li>
Good command of English, allowing for effective daily communication within an international team</li><li>
Willingness to continuously learn and develop new competencies</li></ul><br>
<b>
Additional Information</b><br>
<ul><li>
Participation in international projects across 21 countries</li><li>
Exciting work in the dynamic environment of METRO, one of the leading global wholesale companies</li><li>
Real opportunities for creative input and implementing your own ideas and solutions</li><li>
Career development opportunities in various areas of modern retail operations</li><li>
Friendly and informal working atmosphere</li></ul></div>

Business & Customer Analytics Specialist

CEMEX

<div><p>Cemex Egypt is looking for a highly analytical and detail-oriented HR Data Analytics Specialist to join our team.</p><br>
<p></p>
<p><b>
Position Summary:</b></p><br>
<p></p>
<p>
We are seeking an experienced HR Data Analytics Specialist to transform workforce data into actionable insights that support strategic HR decision-making. This role focuses on analyzing HR metrics, developing interactive dashboards, and delivering data-driven recommendations across areas. The ideal candidate combines strong analytical expertise, advanced reporting skills, and the ability to collaborate effectively with HR, Finance, and business stakeholders to drive informed people strategies.</p><br>
<p></p>
<p><b>
Key Responsibilities:</b></p><br>
<p></p>
<ul>
<li>Perform end-to-end data analysis, including extraction, cleaning, modeling, and interpretation of HR and workforce datasets.</li>
<li>Develop and maintain interactive dashboards and reports using Power BI to track HR metrics and trends.</li>
<li>Analyze HR metrics such as headcount, turnover, recruitment, absenteeism, and employee demographics.</li>
<li>Support Compensation &amp; Benefits analytics, including payroll cost analysis, salary structures, compa-ratio, and merit increase simulations.</li>
<li>Conduct trend analysis, variance analysis, and scenario modeling to guide HR decision-making.</li>
<li>Partner with HR, Finance, and business stakeholders to translate data into actionable insights and recommendations.</li>
<li>Ensure data accuracy, consistency, and governance across HR and workforce datasets.</li>
<li>Present findings to both technical and non-technical stakeholders in a clear and actionable manner.</li></ul><p></p><p><br>
<b>
Qualifications and Requirements:</b></p><br>
<p></p>
<ul>
<li>5&ndash;7 years of experience in data analytics, HR analytics, or a related field.</li>
<li>Solid understanding of core data analysis concepts and ability to interpret complex data.</li>
<li>Experience analyzing HR metrics and workforce data; exposure to Compensation &amp; Benefits is a plus.</li>
<li>Advanced Excel skills and experience with HRIS or payroll systems.</li>
<li>Strong analytical thinking, problem-solving, and critical-thinking skills.</li>
<li>Excellent communication and stakeholder management skills.</li>
<li>Organized, dependable, and able to thrive in a fast-paced, dynamic environment.</li></ul></div>

HR Data Analyst

Aujan Coca-Cola Beverages Company (ACCBC)

<div>
 <p>
  <strong>
   Senior Specialist Market Insights &amp; Analytics
  </strong>
 </p>
 <p>
  <strong>
   Reports To:
  </strong>
  Director &ndash; Data &amp; Analytics (ACCBC) (Dotted Line - Head &ndash; Consumer &amp; Market Insights (Rani Refreshments))
 </p>
 <p>
  <strong>
   Function:
  </strong>
  Data &amp; Analytics / Consumer &amp; Market Insights
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Dubai, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Purpose of the Role
  </strong>
 </p>
 <p>
  To integrate external, market-driven intelligence into Aujan&rsquo;s analytics ecosystem, enriching decision-making with &ldquo;outside-in&rdquo; insights.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role bridges data from competitor landscapes, market share reports, economic indicators, and in-market survey results with internal commercial and operational performance metrics.
 </p>
 <p>
  Initially focused on supporting Rani Refreshments&rsquo; analytics and market insight needs, the role will lay the foundation for an enterprise-wide insights capability serving both Rani and ACCBC &ndash; covering customer, consumer, competitor, people, and asset analytics over time.
 </p>
 <p>
  Working within the centralized Data &amp; Analytics team, the specialist ensures external intelligence is translated into actionable insights that drive growth, RGM precision, and strategic clarity across the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Operating Context
  </strong>
 </p>
 <p>
  The role supports the enterprise mandate to deliver
  <strong>
   consistent, governed, and decision-ready analytics
  </strong>
  across ACCBC &amp; RR by integrating
  <strong>
   external market, competitor, and macroeconomic intelligence
  </strong>
  into the BI ecosystem. It functions as an
  <strong>
   execution-focused specialist role
  </strong>
  , translating &ldquo;outside-in&rdquo; insights into actionable inputs for Commercial, RGM, Strategy, Finance, and Supply Chain teams, while operating within defined enterprise data governance and reporting standards.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities
  </strong>
 </p>
 <p>
  1
  <strong>
   . Market Intelligence Integration
  </strong>
 </p>
 <ul>
  <li>
   Source and integrate external data (Nielsen, Euromonitor, Kantar, etc.) into the BI environment.
  </li>
  <li>
   Structure and align datasets to complement internal KPIs and data models.
  </li>
  <li>
   Maintain quality, timeliness, and metadata documentation for external feeds.
  </li>
 </ul>
 <p>
  2
  <strong>
   . Analytics &amp; Insight Development
  </strong>
 </p>
 <ul>
  <li>
   Conduct trend, pricing, and scenario analyses to support RGM, category, and strategic planning.
  </li>
  <li>
   Translate macro-economic, PESTLE, and category shifts into commercial implications.
  </li>
  <li>
   Produce concise, decision-ready reports linking external factors to performance outcomes.
  </li>
  <li>
   Support cross-functional analytics enablement by embedding external metrics in existing reports.
  </li>
 </ul>
 <p>
  3.
  <strong>
   Collaboration &amp; Stakeholder Engagement
  </strong>
 </p>
 <ul>
  <li>
   Partner with BI, Commercial, Strategy, and RGM teams to embed market insights in planning cycles.
  </li>
  <li>
   Liaise with Finance, Sales, and Marketing for forecasting and pricing inputs.
  </li>
  <li>
   Manage relationships with third-party data providers to enhance reliability and access.
  </li>
 </ul>
 <p>
  4.
  <strong>
   Reporting &amp; Visualization
  </strong>
 </p>
 <ul>
  <li>
   Develop and maintain interactive dashboards using Power BI.
  </li>
  <li>
   Present insights in clear, business-relevant narratives for leadership forums.
  </li>
  <li>
   Maintain an organized insights repository capturing competitor, category, and macro trends.
  </li>
 </ul>
 <p>
  5.
  <strong>
   Continuous Improvement &amp; Governance
  </strong>
 </p>
 <ul>
  <li>
   Recommend enhancements to data integration and governance standards.
  </li>
  <li>
   Track utilization and business impact of delivered insights.
  </li>
  <li>
   Stay current on emerging analytics tools and data-fusion methods that improve foresight capability.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Performance Indicators (KPIs)
  </strong>
 </p>
 <ul>
  <li>
   Accuracy and timeliness of external data integration.
  </li>
  <li>
   Stakeholder satisfaction and adoption of delivered insights.
  </li>
  <li>
   Demonstrated impact of insights on commercial and strategic decisions.
  </li>
  <li>
   Quality and clarity of dashboards and reports.
  </li>
  <li>
   Effectiveness of cross-functional collaboration.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Decision Rights
  </strong>
 </p>
 <p>
  <strong>
   Recommend:
  </strong>
 </p>
 <ul>
  <li>
   External data source partnerships, subscriptions, and tools for leadership approval.
  </li>
  <li>
   Enhancements to BI architecture and data integration frameworks.
  </li>
  <li>
   Process improvements to data governance, tagging, and documentation standards.
  </li>
 </ul>
 <p>
  <strong>
   Approve (within scope):
  </strong>
 </p>
 <ul>
  <li>
   Selection and integration of approved market data sources into BI reports and dashboards.
  </li>
  <li>
   Formatting, design, and dissemination of insight reports and dashboards for business users.
  </li>
  <li>
   Standard definitions, metrics, and visualization templates related to market and competitor data.
  </li>
 </ul>
 <p>
  <strong>
   Advise:
  </strong>
 </p>
 <ul>
  <li>
   Business and functional leaders on market trends, competitor movements, and category performance implications.
  </li>
  <li>
   RGM, Strategy, and Commercial teams on data interpretation and market-driven decision making.
  </li>
  <li>
   BI and Data Governance teams on external data fusion practices and integration methodologies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <strong>
   Education:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Business Analytics, Data Science, Economics, or a related field (Master&rsquo;s preferred).
  </li>
 </ul>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   4&ndash;6 years in analytics, insights, or market intelligence roles within FMCG or related industries.
  </li>
 </ul>
 <p>
  <strong>
   Technical Skills:
  </strong>
 </p>
 <ul>
  <li>
   Advanced Excel and Power BI; familiarity with Tableau and data integration via SharePoint or Azure.
  </li>
  <li>
   Working knowledge of Nielsen, Euromonitor, and economic data sources.
  </li>
 </ul>
 <p>
  <strong>
   Behavioral Skills:
  </strong>
 </p>
 <ul>
  <li>
   Analytical curiosity, commercial acumen, storytelling ability, and confidence to influence cross-functional decisions.
  </li>
 </ul>
 <p>
  <strong>
   Preferred:
  </strong>
 </p>
 <ul>
  <li>
   Experience in multi-market data integration projects and collaboration between commercial and insights teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Competencies Required
  </strong>
 </p>
 <p>
  <strong>
   Core Competencies
  </strong>
 </p>
 <ul>
  <li>
   Analytical Thinking: Interprets complex data to extract meaningful business insights.
  </li>
  <li>
   Collaboration &amp; Influence: Builds cross-functional partnerships to align analytics with business priorities.
  </li>
  <li>
   Results Orientation: Translates analytics into tangible commercial actions.
  </li>
  <li>
   Innovation &amp; Learning Agility: Continuously adopts new tools and approaches to enhance data foresight.
  </li>
  <li>
   Communication &amp; Storytelling: Synthesizes insights into clear, impactful business narratives.
  </li>
 </ul>
 <p>
  <strong>
   Functional Competencies
  </strong>
 </p>
 <ul>
  <li>
   Data Integration &amp; Modeling: Merges external and internal datasets into unified BI structures.
  </li>
  <li>
   Market &amp; Competitive Intelligence: Deep understanding of market share analytics, category tracking, and competitor behavior.
  </li>
  <li>
   Visualization &amp; Reporting: Expert in Power BI dashboards and presenting analytics for executive consumption.
  </li>
  <li>
   Scenario &amp; Trend Analysis: Models performance based on external variables and macroeconomic shifts.
  </li>
  <li>
   Governance &amp; Data Quality Management: Ensures accuracy, reliability, and documentation of integrated data.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Accountability Indicators
  </strong>
 </p>
 <ul>
  <li>
   Integration and accuracy of external market data.
  </li>
  <li>
   Timely delivery and adoption of insight reports.
  </li>
  <li>
   Improvement in business foresight and decision-making quality.
  </li>
  <li>
   Consistency and governance of external data within BI systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Positioning within Operating Model
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Strategic Direction:
   </strong>
   CEO &ndash; ACCBC / CEO &ndash; Rani Refreshments
  </li>
  <li>
   <strong>
    Operational Leadership:
   </strong>
   Director &ndash; Data &amp; Analytics (ACCBC) - Dotted-line to Head &ndash; Consumer &amp; Market Insights (Rani Refreshments)
  </li>
  <li>
   <strong>
    Administrative Execution:
   </strong>
   Market Insights &amp; Analytics Specialist
  </li>
  <li>
   <strong>
    Functional Support:
   </strong>
   Commercial, Strategy, RGM, Finance, and Marketing
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Career Path
  </strong>
 </p>
 <p>
  <strong>
   Level
  </strong>
 </p>
 <p>
  <strong>
   Next Career Role
  </strong>
 </p>
 <p>
  <strong>
   Development Focus
  </strong>
 </p>
 <p>
 </p>
 <p>
  Current
 </p>
 <p>
  <strong>
   Market Insights &amp; Analytics Specialist
  </strong>
 </p>
 <p>
  Mastery in external data integration and insight delivery
 </p>
 <p>
  Next
 </p>
 <p>
  <strong>
   Senior Specialist &ndash; Insights &amp; Analytics
  </strong>
 </p>
 <p>
  Broader ownership of multi-market analytics and cross-functional storytelling
 </p>
 <p>
  Mid-Term
 </p>
 <p>
  <strong>
   Manager &ndash; Market &amp; Business Intelligence
  </strong>
 </p>
 <p>
  Strategic leadership of insights programs and partnerships
 </p>
 <p>
  Long-Term
 </p>
 <p>
  <strong>
   Head &ndash; Market &amp; Consumer Insights / Head &ndash; Data &amp; Analytics
  </strong>
 </p>
 <p>
  Enterprise-wide insights governance, capability development, and foresight leadership
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Accountability Indicators
  </strong>
 </p>
 <ul>
  <li>
   Integration and accuracy of external market data.
  </li>
  <li>
   Timely delivery and adoption of insight reports.
  </li>
  <li>
   Improvement in business foresight and decision-making quality.
  </li>
  <li>
   Consistency and governance of external data within BI systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Direct Reports
  </strong>
 </p>
 <ul>
  <li>
   None (individual contributor role)
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Specialist Market Insights & Analytics

JAWRAA

<div>
 <p>
  We are looking for a
  <strong>
   Power BI Specialist
  </strong>
  to join our team and work on advanced data analytics and reporting initiatives.
 </p>
 <p>
  📍
  <strong>
   Location:
  </strong>
  On-site
 </p>
 <p>
  ⏳
  <strong>
   Contract Duration:
  </strong>
  6 Months
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Collect, analyze, and interpret complex data sets to support business decision-making.
  </li>
  <li>
   Design, develop, and maintain interactive Power BI reports and dashboards.
  </li>
  <li>
   Build efficient and scalable data models using DAX and best practices.
  </li>
  <li>
   Collaborate with business stakeholders to gather and translate requirements into BI solutions.
  </li>
  <li>
   Utilize Microsoft Fabric tools (Dataflows, Pipelines, OneLake) to support self-service analytics.
  </li>
  <li>
   Ensure compliance with data governance standards and optimize report performance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   4+ years of experience in Business Intelligence, data analysis, or a related field.
  </li>
  <li>
   Strong hands-on experience with Power BI Desktop and Power BI Service.
  </li>
  <li>
   Solid knowledge of data modeling, DAX, and data visualization best practices.
  </li>
  <li>
   Experience with Microsoft Fabric is highly preferred.
  </li>
  <li>
   Excellent communication skills with the ability to explain technical concepts to non-technical users.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have:
  </strong>
 </p>
 <ul>
  <li>
   Microsoft Certified: Data Analyst Associate (PL-300) or equivalent.
  </li>
  <li>
   Experience with Python or Azure Data Platform.
  </li>
 </ul>
 <p>
 </p>
</div>


Power BI Specialist

Aramco Overseas Company

<p></p><div><div><div><div><div><div><div><b>Job Req ID: </b>17038
</div></div></div></div><div><div><div><div><b>Description:
</b><div><b>Aramco energizes the world economy.</b></div>
<div>Aramco occupies a special position in the global energy industry. We are one of the world&rsquo;s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.</div>
<div>With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco&rsquo;s value to society.</div>
<div>Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations&rsquo; spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom&rsquo;s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.</div>
<div>We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.</div>
<div><div><div><div><b>
Overview</b></div>
</div><div><div>
We are seeking a Data Scientist Specialist to our Downstream Transformation &amp; Business Excellence Department (DST&amp;BED).</div><br>
<div></div>
<div>
DST&amp;BED empowers the Downstream Admin Areas with advanced analytics, digital tools, and data-driven insights to improve reliability, optimize operations, accelerate decision-making, and enable strategic digital transformation. The organization is responsible for designing advanced analytical models, developing scalable digital solutions, and supporting enterprise-level digital programs.</div><br>
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Your primary role is to design, develop, and operationalize advanced machine learning models that support downstream optimization, predictive maintenance, and performance enhancement. You will work with complex datasets, apply advanced statistical and AI techniques, and ensure models deliver measurable value across operational areas.</div></div></div><div><div><div><b>
Key Responsibilities</b></div>
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As the successful candidate you will be required to perform the following:</div><br>
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<li>Develop machine learning, statistical, and predictive models for downstream operational use cases.</li>
<li>Assess data quality, perform data cleansing, and prepare datasets for model development.</li>
<li>Explore advanced analytical techniques such as deep learning, time-series modelling, anomaly detection, and optimization algorithms.</li>
<li>Validate, test, and refine models to ensure accuracy, reliability, and stability.</li>
<li>Prepare technical documentation and present analytical results to stakeholders.</li>
<li>Support integration of models into digital platforms and operational systems.</li>
<li>Evaluate emerging data science methods and recommend approaches that improve model performance.</li>
<li>Collaborate with engineers, analysts, and solution architects to translate operational challenges into data-driven solutions.</li>
</ul></div></div><div><div><div><b>Minimum Requirements</b></div>
</div><div><ul><li>You will hold a Bachelor&rsquo;s Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from a recognized and approved program.</li>
<li>You will have 15 years of experience in data science or advanced analytics, including at least 10 years working on industrial analytics or digital solutions.</li>
</ul><ul><li>You will have strong knowledge of machine learning, statistical modelling, and data engineering techniques.</li>
<li>You must have proven experience developing and deploying models into production environments.</li>
<li>You will be able to demonstrate proficiency in Python or similar programming languages.</li>
<li>Experience with cloud platforms, databases, and visualization tools is preferred.</li>
<li>You will have the ability to translate complex data concepts into business insights.</li>
</ul></div></div><div><div><div><b>Work Location and Work Schedule</b></div>
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Work location: Within Saudi Arabia &ndash; To be specified in Job offer</div>
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Work schedule: Full Time - To be specified in Job offer</div></div></div><div><div><div><b>
Job Posting Duration</b></div>
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Job posting start date: 01/29/2026</div>
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Job posting end date: 12/31/2026</div></div></div></div><div><b>
Working environment
</b></div><div>Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
</div><div>At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world&rsquo;s biggest technical, logistical and environmental challenges, we invest heavily in talent development.
</div><div>We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs &ndash; one of the largest in the world.</div><br>
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</div></div></div></div><div><div><div><div><b>Country/Region: </b>SA</div></div></div></div></div></div></div><p></p>

Data Scientist Specialist

<div>Role Summary<p>
The Specialist Data Scientist supports the scenario planning team by executing simulations, running scenario experiments, managing data pipelines, and producing reliable risk dashboards. This role is essential for maintaining operational cadence and ensuring accurate inputs for higher-level modeling.</p>
Key Responsibilities<ul><li><p>
Run daily/weekly/monthly scenario analyses (shock modeling, lead-time variability, bias/drift detection).</p></li><li><p>
Produce forecast cones, velocity assessments, scenario comparison charts, and risk heatmaps.</p></li><li><p>
Perform data prep, feature engineering, cleansing, and schema validation.</p></li><li><p>
Maintain modeling configs, parameter files, and version control.</p></li><li><p>
Support simulation model improvements via testing, QA, and benchmarking.</p></li><li><p>
Collaborate with planners to interpret outputs and prepare business presentations.</p></li><li><p>
Monitor performance of scenario engines; flag anomalies or broken logic.</p></li><li><p>
Document modeling workflows, assumptions, and data dependencies.</p></li></ul>
Required Skills &amp; Experience<ul><li><p>
2&ndash;6 years in Data Science, Analytics, or Quantitative Modeling.</p></li><li><p>
Strong analytical foundation with Python (Pandas, NumPy) and basic modeling experience.</p></li><li><p>
Knowledge of forecasting concepts, basic simulation, statistical modeling, and data QA.</p></li><li><p>
Ability to interpret model outputs and translate them into clear action points.</p></li><li><p>
Solid data engineering fundamentals (pipelines, joins, schema checks).</p></li><li><p>
Strong communication and stakeholder management skills.</p></li></ul>
Preferred Experience<ul><li><p>
Experience in supply chain, demand/supply planning, or operations analytics.</p></li><li><p>
Exposure to simulation, empirical distributions, or optimization.</p></li><li><p>
Experience with visualization tools (Power BI, Matplotlib, Seaborn, Plotly).</p></li></ul></div>

Data Scientist

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